Model comparison
Mistral Nemo vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 26.4 on the Noometry Index. Mistral Nemo costs 4.7× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 1 category and Qwen3.7 Plus in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 87.9% for Qwen3.7 Plus.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Qwen3.7 Plus accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | Qwen3.7 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 45.3 |
| Released | 2024-07-01 | 2026-06-02 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.15 | $0.40 |
| Output $ / M tokens | $0.15 | $1.60 |
| Results tracked | 10 | 32 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| LMArena Coding | — | 1473 |
Agentic & Tool Use Mistral Nemo leads
Mistral Nemo: 23.5 (#125), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| OSWorld 2.0 | — | 2.8% |
| BALROG | 17.6% | — |
Reasoning Qwen3.7 Plus leads
Mistral Nemo: 20.7 (#232), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| DTBench | 48.6% | 84% |
| Epoch Capabilities Index | 118.68 | 147.37 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| LMArena Hard Prompts | — | 1460 |
| Mystery Game Puzzles | — | 17% |
| LMCA | — | 37.6% |
| PIQA | 83.5% | — |
Math Qwen3.7 Plus leads
Mistral Nemo: 25.5 (#268), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LMArena Math | — | 1466 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3.7 Plus leads
Mistral Nemo: 12.3 (#298), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 29.9% | 87.9% |
| LMArena Expert | — | 1467 |
| BoolQ | 82.5% | — |
Multimodal Not comparable
Mistral Nemo: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Not comparable
Mistral Nemo: —, Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | — | 1445 |
| LMArena Chinese | — | 1510 |
| LMArena French | — | 1473 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1413 |
| LMArena Korean | — | 1415 |
| LMArena Russian | — | 1457 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
Mistral Nemo: —, Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1440 |
Long Context Not comparable
Mistral Nemo: —, Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | — | 1455 |
Writing & Preference Qwen3.7 Plus leads
Mistral Nemo: 28.5 (#296), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Mistral Nemo | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | — | 1455 |
| LMArena Creative Writing | — | 1439 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1460 |
Frequently asked questions
Is Mistral Nemo better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 26.4 on the Noometry Index. Mistral Nemo costs 4.7× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Qwen3.7 Plus?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 128K.
How many benchmarks do Mistral Nemo and Qwen3.7 Plus share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.7 Plus has 32.